GPT Image 2 vs GPT Image 1.5 in 2026: Which OpenAI Image Model Should You Use?

• GPT Image 2 is the better fit when your team wants to align with OpenAI's newest image route and build around the latest documented model naming.
• GPT Image 1.5 is still the safer production default when you want the clearest current OpenAI image-generation baseline with easy-to-read quality pricing and less migration ambiguity.

TL;DR

• Choose GPT Image 2 if your roadmap is explicitly about the newest OpenAI image route and you want to start validating the next naming and pricing baseline now.
• Choose GPT Image 1.5 if you want the more conservative documented default for production image generation today.
• At 1024x1024, GPT Image 2 is cheaper at low quality, but GPT Image 1.5 is cheaper at medium and high in OpenAI's current public guide.
• This means the right answer depends on your real quality tier, not the model name alone.

What OpenAI currently documents

• GPT Image 2 is now part of the documented comparison path in OpenAI's image-generation docs.
• GPT Image 1.5 remains one of the GPT Image family models in the same guide.
• OpenAI still recommends choosing the right API surface based on workflow: Image API for single-shot generation or edits, and Responses API for conversational or multi-step editing flows.

Pricing: where GPT Image 2 is cheaper, and where it is not

That is the pricing detail many teams miss.

If your workflow is:

• low-cost ideation
• first-pass concept generation
• large-volume low-quality internal testing

If your workflow is:

• marketing assets
• more polished production visuals
• higher-quality deliverables where you are likely to choose medium or high

Workflow fit: how to make the real decision

The better comparison is not "which one is the winner?" It is "what kind of team are you?"

Side-by-side prompt comparison

The fastest way to make this article practical is to compare both models on the same prompt set rather than relying only on pricing or positioning language.

The three comparisons below use the same prompt theme on both sides so you can quickly judge:

• product-shot realism
• large-scene composition
• portrait quality and fashion detail

1. Premium product shot

This pair is useful for teams judging commercial readiness. The main question is not just "which looks nicer?" but which model gives you the cleaner product-photo baseline for ads, landing pages, and ecommerce creative.

2. Complex city environment

This comparison helps you judge composition under pressure: depth, scene readability, layered architecture, lighting discipline, and whether the model keeps a complex environment coherent instead of turning it into visual noise.

3. Fashion portrait

For many teams, portrait quality is where preference becomes clearer. This is where you can compare face stability, fabric detail, lighting taste, and whether the output feels editorial enough for brand or campaign use.

Why GPT Image 1.5 is still easy to justify

It remains easier to justify when:

• you want a route that already feels familiar in existing OpenAI image documentation
• your cost model assumes medium or high quality output
• your production team prefers to avoid early migration until route behavior and internal benchmarks are settled

Why GPT Image 2 is still worth adopting early

It is worth evaluating early when:

• your roadmap explicitly prioritizes the newest OpenAI image route
• you want to standardize future-facing model naming sooner rather than later
• low-quality bulk generation is a real cost center
• your team is already prepared to A/B test route behavior before switching the production default

The safest operational pattern is usually:

1. Keep GPT Image 1.5 as the production default.
2. Add GPT Image 2 as the evaluation lane.
3. Compare your own prompt set, output quality, editing behavior, and actual spend before changing the default.

What not to assume yet

The biggest mistake in this comparison is treating "newest route" as identical to "obvious replacement."

You should not assume, without your own validation, that:

• GPT Image 2 is automatically the better production choice for every workload
• a low-quality pricing advantage means the total workflow will be cheaper
• your editing behavior, prompt adherence, or output preferences will map cleanly from GPT Image 1.5 to GPT Image 2 without testing

FAQ

Is GPT Image 2 officially documented now?

Is GPT Image 1.5 still current?

Yes. GPT Image 1.5 remains part of OpenAI's current GPT Image family documentation and is still a valid production choice.

Which model is cheaper?

Which model should most teams start with?

When should I switch to GPT Image 2?

Switch when your own prompt set, editing behavior, and cost tests show that GPT Image 2 is the better fit for your workload rather than because the model name is newer.

Should I keep both routes available for a while?

Yes. For many teams, the safest rollout is to keep GPT Image 1.5 as the production default while testing GPT Image 2 as the evaluation lane.

Try both routes before you commit

If you want to compare GPT Image 2 and GPT Image 1.5 without rebuilding your image pipeline around separate provider stacks, EvoLink gives you one place to test both routes and switch by model name.

Related reading

• GPT Image Family
• GPT Image 2 developer guide
• ChatGPT Image 2 release-date guide

Sources

• OpenAI image generation guide
• OpenAI pricing page
• GPT Image 1.5 model page